The week's pick
Random Articles
Reseach Article
Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub-Saharan Africa
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 7 - Number 7 |
| Year of Publication: 2017 |
| Authors: Awal Halifa, E. T. Tchao, J. J. Kponyo |
10.5120/cae2017652695
|
Awal Halifa, E. T. Tchao, J. J. Kponyo . Investigating the Best Radio Propagation Model for 4G - WiMAX Networks Deployment in 2530MHz Band in Sub-Saharan Africa. Communications on Applied Electronics. 7, 7 ( Oct 2017), 28-36. DOI=10.5120/cae2017652695
Abstract
One of the salient factors to look at during wireless network planning is developing a modified path loss prediction models to suit a new environment other than the one it was originally designed for. This helps to give accurate predictive outcomes. This paper seeks to demonstrate the effects of applying correction factors on radio propagation model used in planning for 4G-WiMAX network through a comparative analysis between estimated and field data collected on received power for a 4G-WiMAX site. Four existing models were considered for this research; COST 231 Hata, Extended COST 231 Hata, SUI (Stanford University Interim) and Ericsson models. In order to optimize and validate the effectiveness of the proposed models, the mean square error (MSE) and correlation co-efficient were calculated for each model between the predicted and the measured received power for the selected area before and after applying an appropriate correction factor. Based on this, the Extended COST-231 Hata prediction model proved to correlate well with the measured values since it showed least Mean Square Error (MSE) but with highest correlation co-efficient. Through comparative analysis of the corrected models, the Extended COST-231 Hata model could be applied for effective planning of the radio systems in Ghana and the sub-region at large.
References
- J. Chebil, A. K. Lawas, and M. D. Rafiqul Islam, “Comparison between measured and predicted path loss for mobile communication in Malaysia,” World Appl. Sci. J., vol. 21, no. special issue 1, pp. 123–128, 2013.
- Eric Tutu Tchao, Kwasi Diawuo and W.K. Ofosu, “On the Comparison Analysis of 4G-WiMAX Base Station in an Urban Sub-Saharan African Environment”, Journal of Communication and Computer October, 2013, pp 863-872, ISSN 1548-7709, US.
- J. M. Zamanillo and B. Cobo, “Path-Loss Model for UHF Bands IV and V,” 8th WSEAS Int. Conf. SIMULATION, Model. Optim., vol. 2, pp. 337–339, 2008.
- C. S. Hanchinal, “A Survey on the Atmospheric Effects on Radio Path Loss in Cellular Mobile Communication System,” Int. J. Comput. Sci. Technol., vol. 8491, no. 1, pp. 120–124, 2016.
- D. C. Abraham, D. D. Danjuma, S. M. Suleiman, and N. D. Academy, “A Discrete Least Squares Approximation Based Algorithm For Empirical Model Adaptation,” J. Multidiscip. Eng. Sci. Technol., vol. 3, no. 6, pp. 5116–5122, 2016.
- E. T. Tchao, W K Ofosu, K Diawuo: Radio Planning and Field Trial Measurement of a Deployed 4G WiMAX Network in an Urban Sub-Saharan African Environment; International Journal of Interdisciplinary Telecommunications and Networking. September, 2013; 5(5): pp 1-10.
- J.D Gadze, L. A. Tetteh and E. T Tchao. “Throughput and Coverage Evaluation of a Deployed WiMAX Network in Ghana”, International Journal of Computer Science and Telecommunications, July, 2015. Volume 7, Issue 5, pp 18-26.
- E. T. Tchao, W. K. Ofosu, K. Diawuo, E. Affum and Kwame Agyekum “Interference Simulation and Measurements for a Deployed 4G-WiMAX Network in an Urban Sub-Saharan African Environment”: International Journal of Computer Applications (0975 - 8887) Volume 71 - No. 14, pp 6-10, June 2013
- C. Temaneh-Nyah and J. Nepembe, “Determination of a Suitable Correction Factor to a Radio Propagation Model for Cellular Wireless Network Analysis,” 2014 Fifth Int. Conf. Intell. Syst. Model. Simul., vol. 10, no. 35, pp. 175–182, 2014.
- C. Paper, “Simulation and Analysis of Path Loss Models for WiMax Communication System,” Res. Publ., vol. 3, pp. 692–703, 2015.
- D. Alam, S. Chowdhury, and S. Alam, “Performance Evaluation of Different Frequency Bands of WiMAX and Their Selection Procedure,” Int. J. Adv. Sci. Technol., vol. 62, pp. 1–18, 2014.
- C. Julie, “Site specific measurements and propagation models for GSM in three,” Am. J. Sci. Ind. Res., vol. 2, no. 2003, pp. 238–245, 2013.
- P. A. Vieira and E. R. Vale, “Field Trial and Analysis of a Received Radio Signal in a 3 . 5 GHz Band Maritime Environment,” J. Microwaves, Optoelectron. Electromagn. Appl., vol. 14, no. September, pp. 194–204, 2015.
- J. H. Whitteker, “Physical optics and field-strength predictions for wireless systems,” in IEEE Journal on Selected Areas in Communications, 2002, pp. 515–522.
- D. Alam, S. Chowdhury, and S. Alam, “Performance Evaluation of Different Frequency Bands of WiMAX and Their Selection Procedure,” vol. 62, pp. 1–18, 2014.
- A. Kale, S and Jadhav, “An Empirically Based Path Loss Models for LTE Advanced Network and Modeling for 4G Wireless Systems at 2.4 GHz, 2.6 GHz and 3.5 GHz,” Int. J. Comput. Appl., vol. 7, no. 1, pp. 36–43, 2013.
Index Terms
Keywords